标题: 行动计算环境中的隐私权保护机制
Protecting Moving Trajectories with Dummies
作者: 游敦皓
Tun-Hao You
彭文志
Wen-Chin Peng
资讯科学与工程研究所
关键字: 位置隐私权;使用者移动路径;行动位置感知服务;Location Privacy;User Movement Patterns;Location Based Services
公开日期: 2006
摘要: 在本篇论文中探讨了利用假人的技术(Dummy-based anonymization techniques)来保护在行动环境中的使用者位置隐私权。利用制造移动方式接近真人的假人可以保护到在行动环境中的使用者位置隐私权。然而,透过监控使用者的长期的移动行为,他的移动路径仍然会被暴露出来。我们认为当使用者的移动路径被暴露出来之后,他的位置也同时被暴露出来了。因此,为了保护用户位置隐私,保护使用者的移动路径是关键的。我们提出了两个制造一致的路径的方法,并且提出了三个测量的变数,分别是短期暴露率(short-term disclosure)、长期暴露率(long-term disclosure)和距离差异(distance deviation)。除此之外,我们也考虑到了使用者可能会有多条的习惯移动路径,并提出方法加以保护。实验的结果证明我们所提出的方法能比目前的方法更能保护在行动环境中使用者的位置隐私权。
Dummy-based anonymization techniques for protecting location privacy of mobile users have been proposed in the literature. By generating dummies that move in human-like trajectories, this method shows that location privacy of mobile users can be preserved. However, by monitoring long-term movement patterns of users, the trajectories of mobile users can still be exposed. We argue that, once the trajectory of a user is identified, locations of the user are exposed. Thus, it's critical to protect the moving trajectories of mobile users in order to preserve user location privacy. We propose two schemes that generate consistent movement patterns in a long run.
Guided by three parameters in user specified privacy profile, namely, short-term disclosure, long-term disclosure and distance deviation, the proposed schemes derive movement trajectories for dummies. Moreover, since a user may has multiple frequent trajectories, we proposed several schemes to deal with this scenario. Experimental results show that our proposed schemes are more effective than existing work in
protecting moving trajectories of mobile users and their location privacy.
URI: http://140.113.39.130/cdrfb3/record/nctu/#GT009455506
http://hdl.handle.net/11536/82034
显示于类别:Thesis


文件中的档案:

  1. 550601.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.